中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Underwater Object Recognition Based on Deep Encoding-Decoding Network

文献类型:期刊论文

作者X.H.Wang; J.H.Ouyang; D.Y.Li; G.Zhang
刊名Journal of Ocean University of China
出版日期2019
卷号18期号:2页码:376-382
关键词deep learning,transfer learning,encoding-decoding,underwater object,object recognition,Oceanography
ISSN号1672-5182
DOI10.1007/s11802-019-3858-x
英文摘要Ocean underwater exploration is a part of oceanography that investigates the physical and biological conditions for scientific and commercial purposes. And video technology plays an important role and is extensively applied for underwater environment observation. Different from the conventional methods, video technology explores the underwater ecosystem continuously and non-invasively. However, due to the scattering and attenuation of light transport in the water, complex noise distribution and lowlight condition cause challenges for underwater video applications including object detection and recognition. In this paper, we propose a new deep encoding-decoding convolutional architecture for underwater object recognition. It uses the deep encoding-decoding network for extracting the discriminative features from the noisy low-light underwater images. To create the deconvolutional layers for classification, we apply the deconvolution kernel with a matched feature map, instead of full connection, to solve the problem of dimension disaster and low accuracy. Moreover, we introduce data augmentation and transfer learning technologies to solve the problem of data starvation. For experiments, we investigated the public datasets with our proposed method and the state-of-the-art methods. The results show that our work achieves significant accuracy. This work provides new underwater technologies applied for ocean exploration.
语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/62983]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
X.H.Wang,J.H.Ouyang,D.Y.Li,et al. Underwater Object Recognition Based on Deep Encoding-Decoding Network[J]. Journal of Ocean University of China,2019,18(2):376-382.
APA X.H.Wang,J.H.Ouyang,D.Y.Li,&G.Zhang.(2019).Underwater Object Recognition Based on Deep Encoding-Decoding Network.Journal of Ocean University of China,18(2),376-382.
MLA X.H.Wang,et al."Underwater Object Recognition Based on Deep Encoding-Decoding Network".Journal of Ocean University of China 18.2(2019):376-382.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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